This week brought exciting news about multi-agent AI systems, which are groups of smart computer helpers working together to solve problems. Think of it like having a team of robots where each one has a special job.

Nvidia, a big computer company, shared its new Nemotron 3 models that help developers build these multi-agent teams. The models work like special tools that make it easier for different AI helpers to talk to each other and work as a real team. Other companies like Zoom, Oracle, and Accenture are already using these tools to do real work.

Google researchers discovered something important: single agents are better for tasks done one step at a time, but multi-agent systems work better when many things can happen at the same time. For example, if you need to check a bank account step-by-step, one agent is good. But if you need to check many accounts at once, a team of agents is better.

The good news is that companies are seeing real benefits. Capital One created a car-buying helper that is 55% better at turning customers into buyers. Meanwhile, the FDA is using these AI teams to help review medicines and check food safety.

Zoom, the video meeting company, launched AI Companion 3.0, which can now use the internet, create new workflows, and work across multiple AI models. This means the AI can do more complicated tasks, not just write meeting summaries.

However, most companies are still learning how to use these systems safely. Only about 11% of organizations have actually put multi-agent AI into real work, even though 99% plan to use it eventually. Companies like PepsiCo and JLL are testing these systems and finding they help workers do their jobs better and faster.